{"total":108,"rows":[{"id":"2305.04388","title":"Language Models Don't Always Say What They Think: Unfaithful Explanations in Chain-of-Thought Prompting","created":"2023-05-07","cited_by_count":1122,"area":"lr"},{"id":"2305.11738","title":"CRITIC: Large Language Models Can Self-Correct with Tool-Interactive Critiquing","created":"2023-05-19","cited_by_count":783,"area":"lr"},{"id":"2212.10403","title":"Towards Reasoning in Large Language Models: A Survey","created":"2022-12-20","cited_by_count":596,"area":"lr"},{"id":"2305.12295","title":"Logic-LM: Empowering Large Language Models with Symbolic Solvers for Faithful Logical Reasoning","created":"2023-05-20","cited_by_count":391,"area":"lr"},{"id":"2308.03188","title":"Automatically Correcting Large Language Models: Surveying the landscape of diverse self-correction strategies","created":"2023-08-06","cited_by_count":238,"area":"lr"},{"id":"2212.10001","title":"Towards Understanding Chain-of-Thought Prompting: An Empirical Study of What Matters","created":"2022-12-20","cited_by_count":222,"area":"lr"},{"id":"2304.01904","title":"REFINER: Reasoning Feedback on Intermediate Representations","created":"2023-04-04","cited_by_count":205,"area":"lr"},{"id":"2306.14050","title":"Symbolic Chain-of-Thought Distillation: Small Models Can Also \"Think\" Step-by-Step","created":"2023-06-24","cited_by_count":148,"area":"lr"},{"id":"2305.03268","title":"Verify-and-Edit: A Knowledge-Enhanced Chain-of-Thought Framework","created":"2023-05-05","cited_by_count":139,"area":"lr"},{"id":"2506.19143","title":"Thought Anchors: Which LLM Reasoning Steps Matter?","created":"2025-06-23","cited_by_count":129,"area":"lr"},{"id":"2502.09621","title":"MME-CoT: Benchmarking Chain-of-Thought in Large Multimodal Models for Reasoning Quality, Robustness, and Efficiency","created":"2025-02-13","cited_by_count":125,"area":"lr"},{"id":"2306.03872","title":"Deductive Verification of Chain-of-Thought Reasoning","created":"2023-06-06","cited_by_count":124,"area":"lr"},{"id":"2312.03661","title":"Reason2Drive: Towards Interpretable and Chain-based Reasoning for Autonomous Driving","created":"2023-12-06","cited_by_count":123,"area":"lr"},{"id":"2405.16473","title":"M$^3$CoT: A Novel Benchmark for Multi-Domain Multi-step Multi-modal Chain-of-Thought","created":"2024-05-26","cited_by_count":121,"area":"lr"},{"id":"2504.09037","title":"A Survey of Frontiers in LLM Reasoning: Inference Scaling, Learning to Reason, and Agentic Systems","created":"2025-04-12","cited_by_count":111,"area":"lr"},{"id":"2305.14045","title":"The CoT Collection: Improving Zero-shot and Few-shot Learning of Language Models via Chain-of-Thought Fine-Tuning","created":"2023-05-23","cited_by_count":108,"area":"lr"},{"id":"2307.11768","title":"Question Decomposition Improves the Faithfulness of Model-Generated Reasoning","created":"2023-07-17","cited_by_count":108,"area":"lr"},{"id":"2312.04350","title":"CLadder: Assessing Causal Reasoning in Language Models","created":"2023-12-07","cited_by_count":107,"area":"lr"},{"id":"2501.03124","title":"PRMBench: A Fine-grained and Challenging Benchmark for Process-Level Reward Models","created":"2025-01-06","cited_by_count":99,"area":"lr"},{"id":"2308.04592","title":"Shepherd: A Critic for Language Model Generation","created":"2023-08-08","cited_by_count":97,"area":"lr"},{"id":"2310.14799","title":"Cross-lingual Prompting: Improving Zero-shot Chain-of-Thought Reasoning across Languages","created":"2023-10-23","cited_by_count":97,"area":"lr"},{"id":"2503.15850","title":"Uncertainty Quantification and Confidence Calibration in Large Language Models: A Survey","created":"2025-03-20","cited_by_count":95,"area":"lr"},{"id":"2404.01869","title":"Beyond Accuracy: Evaluating the Reasoning Behavior of Large Language Models -- A Survey","created":"2024-04-02","cited_by_count":83,"area":"lr"},{"id":"2304.10703","title":"ReCEval: Evaluating Reasoning Chains via Correctness and Informativeness","created":"2023-04-21","cited_by_count":77,"area":"lr"},{"id":"2309.09117","title":"Contrastive Decoding Improves Reasoning in Large Language Models","created":"2023-09-17","cited_by_count":74,"area":"lr"},{"id":"2404.05692","title":"Evaluating Mathematical Reasoning Beyond Accuracy","created":"2024-04-08","cited_by_count":69,"area":"lr"},{"id":"2402.00559","title":"A Chain-of-Thought Is as Strong as Its Weakest Link: A Benchmark for Verifiers of Reasoning Chains","created":"2024-02-01","cited_by_count":65,"area":"lr"},{"id":"2408.17017","title":"Reasoning Aware Self-Consistency: Leveraging Reasoning Paths for Efficient LLM Sampling","created":"2024-08-30","cited_by_count":63,"area":"lr"},{"id":"2502.12289","title":"Evaluating Step-by-step Reasoning Traces: A Survey","created":"2025-02-17","cited_by_count":63,"area":"lr"},{"id":"2404.04925","title":"Multilingual Large Language Model: A Survey of Resources, Taxonomy and Frontiers","created":"2024-04-07","cited_by_count":51,"area":"lr"},{"id":"2411.18203","title":"Critic-V: VLM Critics Help Catch VLM Errors in Multimodal Reasoning","created":"2024-11-27","cited_by_count":50,"area":"lr"},{"id":"2402.08957","title":"MUSTARD: Mastering Uniform Synthesis of Theorem and Proof Data","created":"2024-02-14","cited_by_count":43,"area":"lr"},{"id":"2403.09972","title":"Think Twice Before Trusting: Self-Detection for Large Language Models through Comprehensive Answer Reflection","created":"2024-03-15","cited_by_count":41,"area":"lr"},{"id":"2407.09136","title":"Stepwise Verification and Remediation of Student Reasoning Errors with Large Language Model Tutors","created":"2024-07-12","cited_by_count":41,"area":"lr"},{"id":"2305.14934","title":"GRACE: Discriminator-Guided Chain-of-Thought Reasoning","created":"2023-05-24","cited_by_count":35,"area":"lr"},{"id":"2505.00681","title":"MINERVA: Evaluating Complex Video Reasoning","created":"2025-05-01","cited_by_count":32,"area":"lr"},{"id":"2410.20482","title":"What Factors Affect Multi-Modal In-Context Learning? An In-Depth Exploration","created":"2024-10-27","cited_by_count":31,"area":"lr"},{"id":"2402.11863","title":"How Interpretable are Reasoning Explanations from Prompting Large Language Models?","created":"2024-02-19","cited_by_count":29,"area":"lr"},{"id":"2408.00802","title":"Leveraging LLM Reasoning Enhances Personalized Recommender Systems","created":"2024-07-22","cited_by_count":28,"area":"lr"},{"id":"2310.00074","title":"SocREval: Large Language Models with the Socratic Method for Reference-Free Reasoning Evaluation","created":"2023-09-29","cited_by_count":27,"area":"lr"},{"id":"2503.11557","title":"VERIFY: A Benchmark of Visual Explanation and Reasoning for Investigating Multimodal Reasoning Fidelity","created":"2025-03-14","cited_by_count":23,"area":"lr"},{"id":"2311.03734","title":"Leveraging Structured Information for Explainable Multi-hop Question Answering and Reasoning","created":"2023-11-07","cited_by_count":22,"area":"lr"},{"id":"2502.02362","title":"Premise-Augmented Reasoning Chains Improve Error Identification in Math reasoning with LLMs","created":"2025-02-04","cited_by_count":22,"area":"lr"},{"id":"2510.06917","title":"SHANKS: Simultaneous Hearing and Thinking for Spoken Language Models","created":"2025-10-08","cited_by_count":19,"area":"lr"},{"id":"2212.08286","title":"ALERT: Adapting Language Models to Reasoning Tasks","created":"2022-12-16","cited_by_count":17,"area":"lr"},{"id":"2506.04810","title":"Dissecting Logical Reasoning in LLMs: A Fine-Grained Evaluation and Supervision Study","created":"2025-06-05","cited_by_count":17,"area":"lr"},{"id":"2407.00390","title":"Advancing Process Verification for Large Language Models via Tree-Based Preference Learning","created":"2024-06-29","cited_by_count":16,"area":"lr"},{"id":"2402.10528","title":"Can We Verify Step by Step for Incorrect Answer Detection?","created":"2024-02-16","cited_by_count":15,"area":"lr"},{"id":"2510.24941","title":"Can Aha Moments Be Fake? Towards Quantifying Decorative and True Thinking in Chain-of-Thought","created":"2025-10-28","cited_by_count":15,"area":"lr"},{"id":"2311.09603","title":"Self-Contradictory Reasoning Evaluation and Detection","created":"2023-11-16","cited_by_count":14,"area":"lr"},{"id":"2506.02126","title":"Knowledge or Reasoning? A Close Look at How LLMs Think Across Domains","created":"2025-06-02","cited_by_count":14,"area":"lr"},{"id":"2310.12426","title":"MAF: Multi-Aspect Feedback for Improving Reasoning in Large Language Models","created":"2023-10-19","cited_by_count":13,"area":"lr"},{"id":"2403.14743","title":"VURF: A General-purpose Reasoning and Self-refinement Framework for Video Understanding","created":"2024-03-21","cited_by_count":13,"area":"lr"},{"id":"2406.10834","title":"Exposing the Achilles' Heel: Evaluating LLMs Ability to Handle Mistakes in Mathematical Reasoning","created":"2024-06-16","cited_by_count":13,"area":"lr"},{"id":"2309.11054","title":"Design of Chain-of-Thought in Math Problem Solving","created":"2023-09-20","cited_by_count":12,"area":"lr"},{"id":"2312.05180","title":"PathFinder: Guided Search over Multi-Step Reasoning Paths","created":"2023-12-08","cited_by_count":12,"area":"lr"},{"id":"2410.06304","title":"FG-PRM: Fine-grained Hallucination Detection and Mitigation in Language Model Mathematical Reasoning","created":"2024-10-08","cited_by_count":12,"area":"lr"},{"id":"2412.17874","title":"Evaluating LLM Reasoning in the Operations Research Domain with ORQA","created":"2024-12-22","cited_by_count":12,"area":"lr"},{"id":"2505.20223","title":"Chain-of-Thought for Autonomous Driving: A Comprehensive Survey and Future Prospects","created":"2025-05-26","cited_by_count":12,"area":"lr"},{"id":"2303.03628","title":"CoTEVer: Chain of Thought Prompting Annotation Toolkit for Explanation Verification","created":"2023-03-07","cited_by_count":11,"area":"lr"},{"id":"2305.18170","title":"Leveraging Training Data in Few-Shot Prompting for Numerical Reasoning","created":"2023-05-29","cited_by_count":11,"area":"lr"},{"id":"2502.06217","title":"Examining False Positives under Inference Scaling for Mathematical Reasoning","created":"2025-02-10","cited_by_count":11,"area":"lr"},{"id":"2410.19056","title":"ReasonAgain: Using Extractable Symbolic Programs to Evaluate Mathematical Reasoning","created":"2024-10-24","cited_by_count":9,"area":"lr"},{"id":"2502.05675","title":"Investigating the Shortcomings of LLMs in Step-by-Step Legal Reasoning","created":"2025-02-08","cited_by_count":9,"area":"lr"},{"id":"2510.10494","title":"Tracing the Traces: Latent Temporal Signals for Efficient and Accurate Reasoning","created":"2025-10-12","cited_by_count":9,"area":"lr"},{"id":"2311.08097","title":"Empowering Multi-step Reasoning across Languages via Tree-of-Thoughts","created":"2023-11-14","cited_by_count":8,"area":"lr"},{"id":"2601.22588","title":"Rethinking LLM-as-a-Judge: Representation-as-a-Judge with Small Language Models via Semantic Capacity Asymmetry","created":"2026-01-30","cited_by_count":8,"area":"lr"},{"id":"2311.17438","title":"CLOMO: Counterfactual Logical Modification with Large Language Models","created":"2023-11-29","cited_by_count":7,"area":"lr"},{"id":"2509.25851","title":"MuSLR: Multimodal Symbolic Logical Reasoning","created":"2025-09-30","cited_by_count":7,"area":"lr"},{"id":"2509.07966","title":"Visual-TableQA: Open-Domain Benchmark for Reasoning over Table Images","created":"2025-09-09","cited_by_count":6,"area":"lr"},{"id":"2512.23511","title":"Beyond Correctness: Exposing LLM-generated Logical Flaws in Reasoning via Multi-step Automated Theorem Proving","created":"2025-12-29","cited_by_count":6,"area":"lr"},{"id":"2509.21549","title":"Correct Reasoning Paths Visit Shared Decision Pivots","created":"2025-09-25","cited_by_count":5,"area":"lr"},{"id":"2603.03332","title":"Fragile Thoughts: How Large Language Models Handle Chain-of-Thought Perturbations","created":"2026-02-11","cited_by_count":5,"area":"lr"},{"id":"2505.17021","title":"ARB: A Comprehensive Arabic Multimodal Reasoning Benchmark","created":"2025-05-22","cited_by_count":4,"area":"lr"},{"id":"2506.06971","title":"Chain-of-Code Collapse: Reasoning Failures in LLMs via Adversarial Prompting in Code Generation","created":"2025-06-08","cited_by_count":4,"area":"lr"},{"id":"2510.09544","title":"Beyond Surface Reasoning: Unveiling the True Long Chain-of-Thought Capacity of Diffusion Large Language Models","created":"2025-10-10","cited_by_count":4,"area":"lr"},{"id":"2601.06002","title":"The Molecular Structure of Thought: Mapping the Topology of Long Chain-of-Thought Reasoning","created":"2026-01-09","cited_by_count":4,"area":"lr"},{"id":"2604.04720","title":"What Makes Good Multilingual Reasoning? Disentangling Traces with Measurable Features","created":"2026-04-06","cited_by_count":4,"area":"lr"},{"id":"2505.21784","title":"Towards Safety Reasoning in LLMs: AI-agentic Deliberation for Policy-embedded CoT Data Creation","created":"2025-05-27","cited_by_count":3,"area":"lr"},{"id":"2509.11026","title":"Rethinking Human Preference Evaluation of LLM Rationales","created":"2025-09-14","cited_by_count":3,"area":"lr"},{"id":"2602.09276","title":"Effective Reasoning Chains Reduce Intrinsic Dimensionality","created":"2026-02-09","cited_by_count":3,"area":"lr"},{"id":"2501.05662","title":"Cascaded Self-Evaluation Augmented Training for Lightweight Multimodal LLMs","created":"2025-01-10","cited_by_count":2,"area":"lr"},{"id":"2507.11408","title":"KisMATH: Do LLMs Have Knowledge of Implicit Structures in Mathematical Reasoning?","created":"2025-07-15","cited_by_count":2,"area":"lr"},{"id":"2509.21284","title":"Bounds of Chain-of-Thought Robustness: Reasoning Steps, Embed Norms, and Beyond","created":"2025-09-25","cited_by_count":2,"area":"lr"},{"id":"2601.23133","title":"RAudit: A Blind Auditing Protocol for Large Language Model Reasoning","created":"2026-01-30","cited_by_count":2,"area":"lr"},{"id":"2602.13904","title":"Diagnosing Pathological Chain-of-Thought in Reasoning Models","created":"2026-02-14","cited_by_count":2,"area":"lr"},{"id":"2605.19228","title":"Diagnosing Multi-step Reasoning Failures in Black-box LLMs via Stepwise Confidence Attribution","created":"2026-05-19","cited_by_count":2,"area":"lr"},{"id":"2504.17665","title":"Evaluating Intermediate Reasoning of Code-Assisted Large Language Models for Mathematics","created":"2025-04-24","cited_by_count":1,"area":"lr"},{"id":"2601.10775","title":"LLMs for Game Theory: Entropy-Guided In-Context Learning and Adaptive CoT Reasoning","created":"2026-01-15","cited_by_count":1,"area":"lr"},{"id":"2601.15050","title":"Beyond Factual Accuracy: Evaluating Global Reasoning Integrity in RAG Systems with LogicScore","created":"2026-01-21","cited_by_count":1,"area":"lr"},{"id":"2603.01025","title":"One-Token Verification for Reasoning Correctness Estimation","created":"2026-03-01","cited_by_count":1,"area":"lr"},{"id":"2604.06066","title":"From Hallucination to Structure Snowballing: The Alignment Tax of Constrained Decoding in LLM Reflection","created":"2026-04-07","cited_by_count":1,"area":"lr"},{"id":"2604.12379","title":"Beyond Output Correctness: Benchmarking and Evaluating Large Language Model Reasoning in Coding Tasks","created":"2026-04-14","cited_by_count":1,"area":"lr"},{"id":"2604.14121","title":"Correct Prediction, Wrong Steps? Consensus Reasoning Knowledge Graph for Robust Chain-of-Thought Synthesis","created":"2026-04-15","cited_by_count":1,"area":"lr"},{"id":"2505.12328","title":"LLMSR@XLLM25: An Empirical Study of LLM for Structural Reasoning","created":"2025-05-18","cited_by_count":0,"area":"lr"},{"id":"2509.25941","title":"Boosting Process-Correct CoT Reasoning by Modeling Solvability of Multiple-Choice QA","created":"2025-09-30","cited_by_count":0,"area":"lr"},{"id":"2510.13850","title":"Revisiting the UID Hypothesis in LLM Reasoning Traces","created":"2025-10-11","cited_by_count":0,"area":"lr"},{"id":"2510.16686","title":"Investigating the Impact of Rationales for LLMs on Natural Language Understanding","created":"2025-10-19","cited_by_count":0,"area":"lr"},{"id":"2512.14332","title":"Step-Tagging: Toward controlling the generation of Language Reasoning Models through step monitoring","created":"2025-12-16","cited_by_count":0,"area":"lr"},{"id":"2602.02295","title":"EvalQReason: A Framework for Step-Level Reasoning Evaluation in Large Language Models","created":"2026-02-02","cited_by_count":0,"area":"lr"}],"next_cursor":"100"}